Yolov5 classifier ,some training images are being centre cropped
humairaneha opened this issue · comments
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Question
I don't want this behaviour. I have resized my image to 224*224,but during training the images are being cropped ,so most information of the images are being lost. what to do?
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@humairaneha hello! Thanks for reaching out. If you're observing that your images are being center-cropped during training, it's likely due to the data augmentation settings in the YOLOv5 data pipeline.
To prevent center-cropping, you can adjust the augmentation settings in your dataset's YAML file. Specifically, you'll want to look at the augment section and modify the parameters related to cropping, such as mosaic, mixup, and random crop settings. Set these to false or adjust their probabilities to 0 to disable them.
For more detailed guidance on how to configure your data augmentations, please refer to the documentation at https://docs.ultralytics.com/yolov5/.
Remember, any changes to the augmentation settings can affect the model's ability to generalize, so it's a good idea to monitor your model's performance on a validation set after making adjustments.
Happy training! 😊
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